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Assessing variability in carbon footprint throughout the food supply chain: a case study of Valencian oranges

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Assessing variability in carbon footprint throughout the food supply chain: a case study of Valencian oranges

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dc.contributor.author Ribal, Javier es_ES
dc.contributor.author Estruch, Vicente es_ES
dc.contributor.author Clemente, Gabriela es_ES
dc.contributor.author Loreto Fenollosa, M. es_ES
dc.contributor.author Sanjuan, Neus es_ES
dc.date.accessioned 2020-09-24T12:30:05Z
dc.date.available 2020-09-24T12:30:05Z
dc.date.issued 2019-08 es_ES
dc.identifier.issn 0948-3349 es_ES
dc.identifier.uri http://hdl.handle.net/10251/150668
dc.description.abstract [EN] Purpose This study aims to analyse the variability in the carbon footprint (CF) of organically and conventionally produced Valencian oranges (Spain), including both farming and post-harvest (PH) stages. At the same time, two issues regarding sample representativeness are addressed: how to determine confidence intervals from small samples and how to calculate the aggregated mean CF (and its variability) when the inventory is derived from different sources. Methods The functional unit was 1 kg of oranges at a European distribution centre. Farming data come from a survey of two samples of organic and conventional farms; PH data come from one PH centre; and data on exportation to the main European markets were obtained from official secondary sources. To assess the variability of the farming subsystem, a bootstrap of the mean CF was performed. The variability of the PH subsystem was assessed through a Monte Carlo simulation and a subsequent subsampling bootstrap. A weighted discrete distribution of the CF of distribution and end-of-life (EoL) was built, which was also bootstrapped. The empirical distribution of the overall CF was obtained by summing all iterations of the three bootstrap procedures of the subsystems. Results and discussion The CF of the baseline scenarios for conventional and organic production were 0.82 and 0.67 kg CO2 equivalent·kg orange¿1, respectively; the difference between their values was due mainly to differences in the farming subsystem. Distribution and EoL was the subsystem contributing the most to the CF (59.3 and 75.7% of the total CF for conventional and organic oranges, respectively), followed by the farming subsystem (34.1 and 19.8% for conventional and organic oranges, respectively). The confidence intervals for the CF of oranges were 0.72¿0.92 and 0.61¿0.82 kg CO2 equivalent·kg orange¿1 for conventional and organic oranges, respectively, and a significant difference was found between them. If organic production were to reach 50% of the total exported production, the CF would be reduced by 5.4¿8.4%. Conclusions The case study and the methods used show that bootstrap techniques can help to test for the existence of significant differences and estimate confidence intervals of the mean CF. Furthermore, these techniques allow several CF sources to be combined so as to estimate the uncertainty in the mean CF estimate. Assessing the variability in the mean CF (or in other environmental impacts) gives a more reliable measure of the mean impact. es_ES
dc.description.sponsorship The Spanish Ministerio de Economia y Competitividad for provided financial support in the project Design of a life-cycle indicator for sustainability in agricultural systems (CTM2013-47340-R). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//CTM2013-47340-R/ES/DISEÑO DE UN INDICADOR DE SOSTENIBILIDAD DEL CICLO DE VIDA PARA LOS SISTEMAS AGRARIOS/ es_ES
dc.relation.ispartof International Journal of Life Cycle Assessment es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bootstrap es_ES
dc.subject Carbon footprint es_ES
dc.subject Confidence interval es_ES
dc.subject Oranges es_ES
dc.subject Organic es_ES
dc.subject Variability es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.subject.classification ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA es_ES
dc.title Assessing variability in carbon footprint throughout the food supply chain: a case study of Valencian oranges es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11367-018-01580-9 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Ribal, J.; Estruch, V.; Clemente, G.; Loreto Fenollosa, M.; Sanjuan, N. (2019). Assessing variability in carbon footprint throughout the food supply chain: a case study of Valencian oranges. International Journal of Life Cycle Assessment. 24(8):1515-1532. https://doi.org/10.1007/s11367-018-01580-9 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11367-018-01580-9 es_ES
dc.description.upvformatpinicio 1515 es_ES
dc.description.upvformatpfin 1532 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela S\403779 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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